Ron Angelo
Speaker at EAST: Ron Angelo, President and Chief Executive Officer, Connecticut Center for Advanced Technology Inc
Speaker at EAST: Ron Angelo, President and Chief Executive Officer, Connecticut Center for Advanced Technology Inc
Speaker at EAST: Tom Connell, Vice President of Business Development for the Americas, Magic Software
EAST Session: Moderated by: Ryan Cahalane. In this dynamic session, experts from Axiom Systems will present innovative strategies to optimize operations and drive competitive advantages for mid-market manufacturers. From leveraging technology to implementing lean principles, this session will explore real-world solutions for achieving operational excellence in today’s ever-changing industrial landscape.
Speaker at EAST: Ryan Cahalane, Managing Partner, Axiom Systems
Speaker at EAST: Patrick Harrigan, VP of Partnership, CADDi
Speaker at EAST: Sam Kusack, President, Kammetal Inc.
EAST Session: Show Floor: 9:00 AM - 5:00 PM
Speaker at EAST: Brian Richmond, Chief Revenue Officer, Nanoprecise SCI Corp
EAST Session:
EAST Session: Effective data collection is critical for optimizing production lines, yet traditional methods such as manual recording and PLC-coded data collection are fraught with inefficiencies and inaccuracies. Manual data entry often misses short downtime events and is subject to operator bias, while PLC-based systems suffer from inconsistencies, excessive costs, and revalidation challenges. The future of data collection lies in automation, modular modeling, and intelligent data processing, providing a foundation for digital transformation and sustainable manufacturing excellence. This session will explore the following concepts: · Advanced data collection goes beyond monitoring bottleneck operations, incorporating machine-level insights across all assets. · A multi-layered approach – integrating real-time signal processing, logic engines, and high-speed data acquisition – enhances fidelity, reduces integration costs, and improves root cause analysis. · Additionally, Aa Fault Learning approach dynamically identifies and ranks faults, leading to better diagnostics and predictive maintenance. · By leveraging digital twins, synchronizing multiple data streams, and enabling fast data validation, companies can significantly improve operational efficiency. · A robust data collection strategy supports MES, OEE, and AI/ML applications, ensuring accurate modeling, predictive analytics, and enterprise-wide standardization.